Krishna Kumar

I’m a Software Engineer with 2 years of experience delivering production-grade Generative AI and Agentic AI solutions, plus backend microservices development. At KPIT Technologies, I design and develop Generative AI applications using LangGraph and LangChain, including RAG pipelines with a local knowledge base for intelligent retrieval. I also focus on LLM inferencing pipelines using vision-capable LLMs (Anthropic Claude, OpenAI) for document ingestion and agentic workflow orchestration. A highlight for me is delivering a production-grade Python automation tool for General Motors with REST API integrations and a microservice-style modular architecture. For that work, I helped reduce manual effort by up to 90%, and the solution is live in production. I’ve also taken ownership of CI/CD and automated testing—spearheading Jenkins integration and validating stability across releases using regression testing with Trace32 and automated testing frameworks. Before joining KPIT full-time, I completed an internship focused on DSA, Python, and C (including A+ performance in modules and a 9-hour Code Marathon). I also built ETL pipelines with Azure Data Factory and created Power BI dashboards at Celebal Technologies, and I continue to expand my craft through projects like a Telegram-based Meal Tracking Agent and an OpenCV-powered AI Air Drawing.